Triple
T10741611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luas |
E253338
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Charlemont
Charlemont is a stop on Dublin’s Luas light rail system, serving the Green Line near the city center.
|
E890769
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charlemont | Statement: [Luas, hasStation, Charlemont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlemont Context triple: [Luas, hasStation, Charlemont]
-
A.
Mallorytown
Mallorytown is a small rural community in Eastern Ontario, Canada, known as one of the earliest United Empire Loyalist settlements along the St. Lawrence River.
-
B.
Monkstown
Monkstown is a suburban coastal area in County Dublin, Ireland, known for its residential character and proximity to Dublin Bay.
-
C.
Crumlin
Crumlin is a village in County Antrim, Northern Ireland, known for its proximity to Belfast International Airport at Aldergrove.
-
D.
Crumlin
Crumlin is a village in Caerphilly County Borough, Wales, historically known for its coal mining and the former Crumlin Viaduct.
-
E.
Luttrellstown
Luttrellstown is a historic estate and townland in County Dublin, Ireland, best known for its grand castle, golf course, and use as an exclusive event and wedding venue.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Charlemont Triple: [Luas, hasStation, Charlemont]
Generated description
Charlemont is a stop on Dublin’s Luas light rail system, serving the Green Line near the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlemont Target entity description: Charlemont is a stop on Dublin’s Luas light rail system, serving the Green Line near the city center.
-
A.
Mallorytown
Mallorytown is a small rural community in Eastern Ontario, Canada, known as one of the earliest United Empire Loyalist settlements along the St. Lawrence River.
-
B.
Monkstown
Monkstown is a suburban coastal area in County Dublin, Ireland, known for its residential character and proximity to Dublin Bay.
-
C.
Crumlin
Crumlin is a village in County Antrim, Northern Ireland, known for its proximity to Belfast International Airport at Aldergrove.
-
D.
Crumlin
Crumlin is a village in Caerphilly County Borough, Wales, historically known for its coal mining and the former Crumlin Viaduct.
-
E.
Luttrellstown
Luttrellstown is a historic estate and townland in County Dublin, Ireland, best known for its grand castle, golf course, and use as an exclusive event and wedding venue.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff78257b88190942308719d9fa6a6 |
completed | April 15, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69e0026e7900819087327db5f625169c |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e0057a7704819096becb74dc261883 |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:15 p.m.